Review of Different Face Detection and Recognition Methods

Authors

  • Kanika Bhatia  M. Tech. Research Scholar, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
  • Prof. Umesh Kumar Lilhore  Head PG, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
  • Prof. Nitin Agrawal  Associate Professor, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India

Keywords:

Face Detection; Face Localization; Facial Feature Detection; Feature Based Approaches; Image-Based Approaches

Abstract

Image processing methods play a vital role in different applications, face detection and reorganization is one of them. In recent technology, the popularity and demand of image processing are increasing due to its immense number of application in various fields. Most of these are related to biometric science like face recognition, fingerprint recognition, iris scan, and speech recognition. Among them, face detection is a very powerful tool for video surveillance, human computer interface, face recognition, and image database management. There are a different number of works on this subject. Face recognition is a rapidly evolving technology, which has been widely used in forensics such as criminal identification, secured access, and prison security. The human face is a dynamic object and has a high degree of variability in its appearance, which makes face detection a difficult problem in computer vision. A wide variety of techniques have been proposed, ranging from simple edge-based algorithms to composite high-level approaches utilizing advanced pattern recognition methods. Various researchers have been suggested different human face detection and reorganization method for various application decades. This review paper presents a comparative analysis of various face detection and reorganization methods.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Kanika Bhatia, Prof. Umesh Kumar Lilhore, Prof. Nitin Agrawal, " Review of Different Face Detection and Recognition Methods, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.595-600, September-October-2017.